Triple
T18311521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brünig railway line |
E438635
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Lungern railway station |
—
|
NE NERFINISHED |
How this triple was built (3 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lungern railway station | Statement: [Brünig railway line, hasStation, Lungern railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lungern railway station Context triple: [Brünig railway line, hasStation, Lungern railway station]
-
A.
Lemgo-Lüttfeld station
Lemgo-Lüttfeld station is a regional railway stop in Lemgo, Germany, serving local passenger traffic and providing access to nearby educational and industrial areas.
-
B.
Limburg (Lahn) station
Limburg (Lahn) station is the main railway station serving the town of Limburg an der Lahn in Hesse, Germany, functioning as a regional transport hub with connections to surrounding cities and lines.
-
C.
Oberlahnstein station
Oberlahnstein station is a railway station in the town of Lahnstein, Germany, serving as a regional transport hub on the Rhine and Lahn railway routes.
-
D.
Langenau station
Langenau station is a regional railway stop in the town of Langenau in Baden-Württemberg, Germany, serving local passenger rail services.
-
E.
Lüdenscheid station
Lüdenscheid station is the main railway station serving the town of Lüdenscheid in North Rhine-Westphalia, Germany, providing regional rail connections for passengers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lungern railway station Target entity description: Lungern railway station is a stop on the scenic Brünig line in the Swiss canton of Obwalden, serving the village of Lungern with regional train connections.
-
A.
Lemgo-Lüttfeld station
Lemgo-Lüttfeld station is a regional railway stop in Lemgo, Germany, serving local passenger traffic and providing access to nearby educational and industrial areas.
-
B.
Limburg (Lahn) station
Limburg (Lahn) station is the main railway station serving the town of Limburg an der Lahn in Hesse, Germany, functioning as a regional transport hub with connections to surrounding cities and lines.
-
C.
Oberlahnstein station
Oberlahnstein station is a railway station in the town of Lahnstein, Germany, serving as a regional transport hub on the Rhine and Lahn railway routes.
-
D.
Langenau station
Langenau station is a regional railway stop in the town of Langenau in Baden-Württemberg, Germany, serving local passenger rail services.
-
E.
Lüdenscheid station
Lüdenscheid station is the main railway station serving the town of Lüdenscheid in North Rhine-Westphalia, Germany, providing regional rail connections for passengers.
- F. None of above. chosen
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50219cd548190b8da5f402d5da773 |
completed | April 19, 2026, 4:26 p.m. |
Created at: April 10, 2026, 10:36 a.m.